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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 1987
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    Explanations

    the word "ether" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    words related to thermal materials and their applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ELS
    -0.85
    URI
    -0.81
     trim
    -0.65
    -+-+-+-+
    -0.64
    DEP
    -0.63
     prime
    -0.62
     Bav
    -0.62
     Guantanamo
    -0.62
     bis
    -0.61
     admirable
    -0.61
    POSITIVE LOGITS
    ther
    1.26
    apy
    1.24
    idge
    1.12
    apist
    1.05
    swer
    1.00
    dinand
    0.95
    isks
    0.94
    theless
    0.93
    soever
    0.93
    odynamics
    0.91
    Activations Density 0.003%

    No Known Activations